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SKU/Artículo: AMZ-B0FHC3TN97

Time Series Forecasting with Python: Deploying and Managing Machine Learning Models in Production

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Fuera de stock

Peso con empaque:
0.36 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Sobre este producto

Understand the fundamentals of time series data and forecasting
Preprocess and clean time series data for modeling
Build and evaluate forecasting models using ARIMA, Prophet, and LSTM
Apply machine learning techniques like XGBoost and Random Forest to time series data
Use Python libraries like pandas, statsmodels, and scikit-learn
Automate forecasting with pipelines and batch predictions
Deploy models to cloud platforms like AWS, Google Cloud, or Azure
Monitor model performance in production, and update models as needed
Integrate time series forecasting into real-world applications like dashboards and APIs

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Time Series Forecasting with Python: Deploying and Managing Machine Learning Models in Production

Compra protegida

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Garantía de entrega

¿Cómo solicitar una devolución?

Los productos sin devolución son:

Tarjetas prepagas, debito, y credito

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Información de Aduanas Urugauy

Régimen de Encomiendas Postales Internacionales Dirección Nacional de Aduanas (Decreto 356/014)

Otros Productos

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Harman Kardon Onyx Studio 7 Bluetooth Wireless Portable Speaker - 8 Hours Music Play time - Black

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Régimen de Encomiendas Postales Internacionales
Dirección Nacional de Aduanas (Decreto 356/014)

M6 Language Translator Earbuds-Supports 127 languages and multi-country translation， Bluetooth headsets-White